Pertiwi, Nadiar
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Time Dilation in Interstellar Missions: A Systematic Literature Review on Relativistic Effects and Technological Solutions Rara, Rara; Pertiwi, Nadiar; akhsan, Hamdi; Ariska, Melly
Kappa Journal Vol 9 No 2 (2025): Agustus
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v9i2.30399

Abstract

Interstellar exploration faces fundamental challenges due to the time dilation effects of Einstein's theory of relativity. This review presents a comprehensive analysis of the principle of time dilation, implications for interstellar missions, as well as cutting-edge technologies that utilize this principle. The Systematic Literature Review (SLR) method with PRISMA approach was applied, resulting in 42 relevant articles that met the inclusion criteria. The review results show that: (1) the effects of time dilation pose significant challenges in interstellar mission planning, particularly in the aspects of navigation, communication, and crew biology; (2) the development of cutting-edge technologies such as the Breakthrough Starshot relativistic vehicle, high-precision atomic clocks, and autonomous AI systems offer innovative solutions to overcome these challenges; (3) the integration of relativity understanding with these advanced technologies opens up new opportunities to realize interstellar exploration in the coming decades. These findings confirm that although time dilation is a major obstacle, the development of revolutionary technologies can turn it into a supporting factor in the realization of interstellar missions.
Integrating Big Data and IoT in Physics Laboratory Information Systems: A Systematic Literature Review Pertiwi, Nadiar; Fatonah, Amelia; Mahdiah, Intan; Akhsan, Hamdi; Amri, Iful
Jurnal Literasi Pendidikan Fisika (JLPF) Vol. 6 No. 2 (2025): November
Publisher : Program Studi Pendidikan Fisika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jlpf.v6i2.4986

Abstract

Physics laboratories generate large volumes of complex experimental data that require efficient and secure management systems. The integration of Big Data and IoT offers solutions through real-time monitoring, automation, and advanced analytics. However, adoption in educational and small-scale laboratories remains limited due to high costs, data security issues, and technical skill gaps. This study employs a Systematic Literature Review (SLR) method, analyzing 30 articles published between 2017 and 2024 from open-access sources such as Google Scholar and IEEE Xplore. Data extraction focuses on applications, challenges, and synergies of Big Data and IoT in physics laboratory information systems. The findings highlight key applications such as real-time environmental monitoring, automated data collection, RFID-based inventory management, and advanced data analytics. The main challenges identified include high implementation costs, system incompatibility, and a lack of skilled personnel. The synergy between IoT and Big Data enhances accuracy, operational efficiency, and decision-making. This study presents a structured framework of challenges and corresponding solutions, and also highlights underutilized practices such as LIMS integration and adaptive environmental control. The contributions include theoretical insights into the digital transformation of laboratories and practical strategies based on CERN’s case study that are applicable to educational and research labs.